DURATION: 3 Days
Why Take This Course?
- No prior programming or computer science expertise required.
- Engage with real-world examples and a mini project to see AI in action.
What You’ll Learn
- What is AI?
- AI Concepts and Terms
- Ethical Concerns and Bias
- Career Insights
Training Program
- Introduction to AI for Managers
- Understanding the strategic importance of AI
- Key terminology and concepts
- Benefits and challenges of AI adoption
- Ethical considerations in AI
- Foundations of Data Science
- Basics of data collection, cleaning, and pre-processing
- Descriptive and inferential statistics
- Introduction to machine learning techniques
- Machine Learning Algorithms for Managers
- Supervised learning (regression, classification)
- Unsupervised learning (clustering, dimensionality reduction)
- Model evaluation and selection
- AI Applications in Business
- Predictive analytics for demand forecasting
- Recommender systems for personalised recommendations
- Natural language processing (NLP) for customer interactions
- AI Strategy and Implementation
- Developing an AI roadmap aligned with business goals
- Managing AI projects: scope, resources, and timelines
- Change management and organisational readiness
- Ethics and Responsible AI
- Mitigating bias in AI models
- Ensuring transparency and fairness
- Addressing privacy and security concerns
- Case Studies and Real-world Examples
- Learning from successful AI implementations
- Analysing challenges and lessons learned
- Emerging Trends in AI
- Reinforcement learning and its applications
- Edge computing for decentralised AI
- Industry-specific AI trends (finance, healthcare, etc.)
- Leadership Skills for AI Managers
- Communicating AI strategies to non-technical stakeholders
- Building cross-functional AI teams
- Balancing innovation with risk management
- Capstone Project and Practical Application
Applying AI knowledge to a real-world business scenario- Developing an AI strategy for the organisation- Presenting findings and recommendations
- Continuous Learning and Staying Updated
Keeping abreast of AI advancements- Networking with industry experts- Leveraging online resources and communities